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Temporal dynamics of oscillatory activity during nonlexical language decoding: Evidence from Morse code and magnetoencephalography

Understanding encoded languages, such as written script or Morse code, requires nonlexical and lexical processing components that act in a parallel and interactive fashion. Decoding written script—as for example in reading—is typically very fast, making the investigation of the lexical and nonlexica...

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Detalles Bibliográficos
Autores principales: Junker, Frederick Benjamin, Schmidt‐Wilcke, Tobias, Schnitzler, Alfons, Lange, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619365/
https://www.ncbi.nlm.nih.gov/pubmed/37792277
http://dx.doi.org/10.1002/hbm.26505
Descripción
Sumario:Understanding encoded languages, such as written script or Morse code, requires nonlexical and lexical processing components that act in a parallel and interactive fashion. Decoding written script—as for example in reading—is typically very fast, making the investigation of the lexical and nonlexical components and their underlying neural mechanisms challenging. In the current study, we aimed to accomplish this problem by using Morse code as a model for language decoding. The decoding of Morse code is slower and thus allows a better and more fine‐grained investigation of the lexical and nonlexical components of language decoding. In the current study, we investigated the impact of various components of nonlexical decoding of Morse code using magnetoencephalography. For this purpose, we reconstructed the time–frequency responses below 40 Hz in brain regions significantly involved in Morse code decoding and word comprehension that were identified in a previous study. Event‐related reduction in beta‐ and alpha‐band power were found in left inferior frontal cortex and angular gyrus, respectively, while event‐related theta‐band power increase was found at frontal midline. These induced oscillations reflect working‐memory encoding, long‐term memory retrieval as well as demanding cognitive control, respectively. In sum, by using Morse code and MEG, we were able to identify a cortical network underlying language decoding in a time‐ and frequency‐resolved manner.